Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
in Proc. 11th IEEE International Conference on Computer Vision (ICCV), Rio de Janeiro, Brazil, October 2007 Extracting Texels in 2.1D Natural Textures
 

Summary: in Proc. 11th IEEE International Conference on Computer Vision (ICCV), Rio de Janeiro, Brazil, October 2007
Extracting Texels in 2.1D Natural Textures
Narendra Ahuja and Sinisa Todorovic
Beckman Institute, University of Illinois at Urbana-Champaign
{ahuja, sintod}@vision.ai.uiuc.edu
Abstract
This paper proposes the problem of unsupervised extrac-
tion of texture elements, called texels, which repeatedly oc-
cur in the image of a frontally viewed, homogeneous, 2.1D,
planar texture, and presents a solution. 2.1D texture here
means that the physical texels are thin objects lying along a
surface that may partially occlude one another. The image
texture is represented by the segmentation tree whose struc-
ture captures the recursive embedding of regions obtained
from a multiscale image segmentation. In the segmenta-
tion tree, the texels appear as subtrees with similar struc-
ture, with nodes having similar photometric and geometric
properties. A new learning algorithm is proposed for fusing
these similar subtrees into a tree-union, which registers all
visible texel parts, and thus represents a statistical, gener-

  

Source: Ahuja, Narendra - Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign
Todorovic, Sinisa - School of Electrical Engineering and Computer Science, Oregon State University

 

Collections: Computer Technologies and Information Sciences; Engineering